电子科技大学学报2011，Vol.40Issue(5)：742-746,5.DOI:10.3969/j.issn.1001-0548.2011.05.021
3DDCT变换下的图像去噪与增强方法
Approach to Image Denoising and Enhancement Based on 3DDCT
摘要
Abstract
To solve the problem of the loss of information in texture areas using traditional image denoising algorithms, we propose an algorithm for image denoising and enhancing based on3DDCT according to the characteristic that the number of non-zero discrete Cosine transform (DCT) coefficients in smooth regions is fewer. First, similar blocks of the images is put to a block group according to l2 normal form; second, 2DDCT transformation is applied to each block and the threshold for the first denoising is used according to the correlation of pixels within the block; after that, 1DDCT transformation is applied on block groups according to the similarity between the corresponding pixels; then the threshold is used for a second time denoising; third, a power expansion is made to the non-zero coefficients in high frequency regions of 3D transform domain; finally, the proceed image is combined with Kaiser Window function. Compared with traditional algorithms, the new algorithm has a better visual performance because of its abilities to enlarge non-zero DCT coefficients in high frequency areas and to enhance information in texture and edge areas at the same time.关键词
3D离散余弦变换/图像去噪/图像增强/a次方/Kaiser窗口Key words
3DDCT transform/ image denoising/ image enhancement/ α power/ Kaiser window分类
信息技术与安全科学引用本文复制引用
张卫华,李睿,何坤,周激流..3DDCT变换下的图像去噪与增强方法[J].电子科技大学学报,2011,40(5):742-746,5.基金项目
国家自然科学基金(60773168) （60773168）
四川省科技支撑项目(2010GZ0169) （2010GZ0169）
